Quenching Fire with Water? Power Structures, Practice Paradigms, and Decision-Making Models of Water Diplomacy in the Jordan River Basin
Bibliographic record
Abstract
Water diplomacy in the Jordan River Basin is a representative and emblematic example of global water diplomacy dilemmas. The outbreak of the latest Israeli-Palestinian conflict has significantly reshaped the context, agenda, and developmental trajectory of water diplomacy in the basin. Currently, the asymmetric power structure in water diplomacy has shaped divergent objectives and behavioural preferences among actors, thereby forming three distinct practice paradigms: offensive water diplomacy, defensive water diplomacy, and mediatory water diplomacy. Within this specific configuration of water power dynamics and diplomatic practices, internal and external actors in the Jordan River Basin have further engendered four differentiated policy and decision-making models. Collectively, these factors exert considerable influence over the existing pattern and future direction of water diplomacy in the Jordan River Basin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".